BI-LEVEL OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM CONSIDERING GREEN CERTIFICATES-CARBON EMISSION TRADING MECHANISM

Liang Ning, Miao Meng, Xu Huihui, Zheng Feng, Fang Qian

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (7) : 312-322.

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (7) : 312-322. DOI: 10.19912/j.0254-0096.tynxb.2023-0426

BI-LEVEL OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM CONSIDERING GREEN CERTIFICATES-CARBON EMISSION TRADING MECHANISM

  • Liang Ning1, Miao Meng1, Xu Huihui2, Zheng Feng3, Fang Qian1
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Abstract

Aiming at the low-carbon economic dispatch of the integrated energy system, this paper constructs a low-carbon economic operation framework of the comprehensive energy system with multiple micro integrated energy systems, and a two-level optimal dispatch strategy of the integrated energy system considering the green certificates-carbon trading mechanism is proposed. Firstly, the carbon emission intensity and carbon emissions of each node in the energy network is calculated, which utilize the carbon emission flow model. Secondly, by analyzing the operation mechanisms of carbon trading and green certificate trading markets, the carbon trading, green certificate trading model of the micro integrated energy system are established, and green certificate-carbon trading linkage mechanism is designed to reduce the carbon trading fulfillment costs of micro integrated energy system. Then, a two-layer optimal dispatch model of integrated energy system under green certificate-carbon trading mechanism is established. The upper layer is the economic dispatch model of power grid and gas network. The lower layer is the low-carbon economic dispatch model of multi micro integrated energy systems considering the demand response with the goal of minimizing the operating cost. Finally, the calculation example shows that the proposed model can effectively reduce carbon emissions, decrease renewable energy waste, and achieve low-carbon economic operation of the integrated energy system.

Key words

integrated energy system / carbon emissions flow / green certificate trading / carbon emission trading / demand response

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Liang Ning, Miao Meng, Xu Huihui, Zheng Feng, Fang Qian. BI-LEVEL OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM CONSIDERING GREEN CERTIFICATES-CARBON EMISSION TRADING MECHANISM[J]. Acta Energiae Solaris Sinica. 2024, 45(7): 312-322 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0426

References

[1] 田世明, 栾文鹏, 张东霞, 等. 能源互联网技术形态与关键技术[J]. 中国电机工程学报, 2015, 35(14): 3482-3494.
TIAN S M, LUAN W P, ZHANG D X, et al.Technical forms and key technologies on energy internet[J]. Proceedings of the CSEE, 2015, 35(14): 3482-3494.
[2] 黎静华, 朱梦姝, 陆悦江, 等. 综合能源系统优化调度综述[J]. 电网技术, 2021, 45(6): 2256-2272.
LI J H, ZHU M S, LU Y J, et al.Review on optimal scheduling of integrated energy systems[J]. Power system technology, 2021, 45(6): 2256-2272.
[3] 陈星星. 中国碳排放权交易市场:成效、现实与策略[J]. 东南学术, 2022, (04): 167-177.
CHEN X X.China's carbon emissions trading market: effectiveness, reality and strategy[J]. Southeast academic research, 2022, (04): 167-177.
[4] 陈登勇, 刘方, 刘帅. 基于阶梯碳交易的含P2G-CCS耦合和燃气掺氢的虚拟电厂优化调度[J]. 电网技术, 2022, 46(6): 2042-2054.
CHEN D Y, LIU F, LIU S.Optimization of virtual power plant scheduling coupling with P2G-CCS and doped with gas hydrogen based on stepped carbon trading[J]. Power system technology, 2022, 46(6): 2042-2054.
[5] 秦婷, 刘怀东, 王锦桥, 等. 基于碳交易的电-热-气综合能源系统低碳经济调度[J]. 电力系统自动化, 2018, 42(14): 8-13, 22.
QIN T, LIU H D, WANG J Q, et al.Carbon trading based low-carbon economic dispatch for integrated electricity-heat-gas energy system[J]. Automation of electric power systems, 2018, 42(14): 8-13, 22.
[6] 张勇, 范斯达, 高海荣, 等. 融合柔性负荷和碳交易机制的矿山综合能源系统运行优化[J]. 电力系统及其自动化学报, 2023, 35(4): 148-158.
ZHANG Y, FAN S D, GAO H R, et al.Operation optimization of coal mine integrated energy system integrating flexible load and carbon trading mechanism[J]. Proceedings of the CSU-EPSA, 2023, 35(4): 148-158.
[7] 李嘉祺, 陈艳波, 陈来军, 等. 工业园区综合能源系统低碳经济优化运行模型[J]. 高电压技术, 2022, 48(8): 3190-3200.
LI J Q, CHEN Y B, CHEN L J, et al.Low-carbon economy optimization model of integrated energy system in industrial parks[J]. High voltage engineering, 2022, 48(8): 3190-3200.
[8] 祝荣, 任永峰, 孟庆天, 等. 基于合作博弈的综合能源系统电-热-气协同优化运行策略[J]. 太阳能学报, 2022, 43(4): 20-29.
ZHU R, REN Y F, MENG Q T, et al.Electricity-heat-gas cooperative optimal operation strategy of integrated energy system based on cooperative game[J]. Acta energiae solaris sinica, 2022, 43(4): 20-29.
[9] FENG P L, HE X.Mixed neurodynamic optimization for the operation of multiple energy systems considering economic and environmental aspects[J]. Energy, 2021, 232: 120965.
[10] 周天睿, 康重庆, 徐乾耀, 等. 电力系统碳排放流的计算方法初探[J]. 电力系统自动化, 2012, 36(11): 44-49.
ZHOU T R, KANG C Q, XU Q Y, et al.Preliminary investigation on a method for carbon emission flow calculation of power system[J]. Automation of electric power systems, 2012, 36(11): 44-49.
[11] KANG C Q, ZHOU T R, CHEN Q X, et al.Carbon emission flow from generation to demand: a network-based model[J]. IEEE transactions on smart grid, 2015, 6(5): 2386-2394.
[12] 陈厚合, 茅文玲, 张儒峰, 等. 基于碳排放流理论的电力系统源-荷协调低碳优化调度[J]. 电力系统保护与控制, 2021, 49(10): 1-11.
CHEN H H, MAO W L, ZHANG R F, et al.Low-carbon optimal scheduling of a power system source-load considering coordination based on carbon emission flow theory[J]. Power system protection and control, 2021, 49(10): 1-11.
[13] 骆钊, 秦景辉, 梁俊宇, 等. 含绿色证书跨链交易的综合能源系统运行优化[J]. 电网技术, 2021, 45(4): 1311-1320.
LUO Z, QIN J H, LIANG J Y, et al.Operation optimization of integrated energy system with green certificate cross-chain transaction[J]. Power system technology, 2021, 45(4): 1311-1320.
[14] ZHANG L, LIU D Y, CAI G W, et al.An optimal dispatch model for virtual power plant that incorporates carbon trading and green certificate trading[J]. International journal of electrical power & energy systems, 2023, 144: 108558.
[15] 袁桂丽, 刘培德, 贾新潮, 等. 计及绿色电力证书制度的经济性优化调度[J]. 太阳能学报, 2021, 42(4): 139-146.
YUAN G L, LIU P D, JIA X C, et al.Economic optimal scheduling considering tradable green certificate system[J]. Acta energiae solaris sinica, 2021, 42(4): 139-146.
[16] 杨宏基, 周明, 武昭原, 等. 含光热电站的电-热能源系统优化运行机制[J]. 电网技术, 2022, 46(1): 175-185.
YANG H J, ZHOU M, WU Z Y, et al.Optimal operation of electro-thermal energy systems with concentrated solar power plant[J]. Power system technology, 2022, 46(1): 175-185.
[17] 尚楠, 陈政, 卢治霖, 等. 电力市场、碳市场及绿证市场互动机理及协调机制[J]. 电网技术, 2023, 47(1): 142-154.
SHANG N, CHEN Z, LU Z L, et al.Interaction principle and cohesive mechanism between electricity market, carbon market and green power certificate market[J]. Power system technology, 2023, 47(1): 142-154.
[18] 徐筝, 孙宏斌, 郭庆来. 综合需求响应研究综述及展望[J]. 中国电机工程学报, 2018, 38(24): 7194-7205, 7446.
XU Z, SUN H B, GUO Q L.Review and prospect of integrated demand response[J]. Proceedings of the CSEE, 2018, 38(24): 7194-7205, 7446.
[19] IBRAHIM C, MOUGHARBEL I, KANAAN H Y, et al.A review on the deployment of demand response programs with multiple aspects coexistence over smart grid platform[J]. Renewable and sustainable energy reviews, 2022, 162: 112446.
[20] 陈灵敏, 吴杰康, 张文杰, 等. 基于鲁棒优化的微能源网综合需求响应协同调度策略[J]. 电力系统自动化, 2021, 45(21): 159-169.
CHEN L M, WU J K, ZHANG W J, et al.Robust optimization based coordinated scheduling strategy for integrated demand response in micro energy grid[J]. Automation of electric power systems, 2021, 45(21): 159-169.
[21] 刘蓉晖, 李阳, 杨秀, 等. 考虑需求响应的社区综合能源系统两阶段优化调度[J]. 太阳能学报, 2021, 42(9): 46-54.
LIU R H, LI Y, YANG X, et al.Two-stage optimal scheduling of community integrated energy system considering demand response[J]. Acta energiae solaris sinica, 2021, 42(9): 46-54.
[22] 李鹏, 吴迪凡, 李雨薇, 等. 基于综合需求响应和主从博弈的多微网综合能源系统优化调度策略[J]. 中国电机工程学报, 2021, 41(4): 1307-1321, 1538.
LI P, WU D F, LI Y W, et al.Optimal dispatch of multi-microgrids integrated energy system based on integrated demand response and Stackelberg game[J]. Proceedings of the CSEE, 2021, 41(4): 1307-1321, 1538.
[23] CHENG Y H, ZHANG N, WANG Y, et al.Modeling carbon emission flow in multiple energy systems[J]. IEEE transactions on smart grid, 2019, 10(4): 3562-3574.
[24] 林卓然, 王守相, 王绍敏, 等. 考虑阶梯型碳交易机制的区域电-热综合能源系统分布协同调度方法[J]. 电网技术, 2023, 47(1): 217-229.
LIN Z R, WANG S X, WANG S M, et al.Distributed coordinated dispatching of district electric-thermal integrated energy system considering ladder-type carbon trading mechanism[J]. Power system technology, 2023, 47(1): 217-229.
[25] 刘晓军, 聂凡杰, 杨冬锋, 等. 碳捕集电厂-电转气联合运行模式下考虑绿证-碳交易机制的综合能源系统低碳经济调度[J]. 电网技术, 2023, 47(6): 2207-2222.
LIU X J, NIE F J, YANG D F, et al.Low carbon economic dispatch of integrated energy systems considering green certificates-carbon trading mechanism under CCPP-P2G joint operation model[J]. Power system technology, 2023, 47(6): 2207-2222.
[26] 李虹, 林兰心, 赵小军. 基于需求侧用户响应分析的电-气-热综合能源系统低碳经济调度[J]. 太阳能学报, 2023, 44(5): 97-105.
LI H, LIN L X, ZHAO X J.Low carbon economic scheduling of electricity-gas-heat integrated energy system based on demand-side user response analysis[J]. Acta energiae solaris sinica, 2023, 44(5): 97-105.
[27] 丁煜蓉, 陈红坤, 吴军, 等. 计及综合能效的电-气-热综合能源系统多目标优化调度[J]. 电力系统自动化, 2021, 45(2): 64-73.
DING Y R, CHEN H K, WU J, et al.Multi-objective optimal dispatch of electricity-gas-heat integrated energy system considering comprehensive energy efficiency[J]. Automation of electric power systems, 2021, 45(2): 64-73.
[28] CHEN J J, QI B X, RONG Z K, et al.Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement[J]. Energy, 2021, 217: 119387.
[29] 赵洪斌. 多时间尺度下基于相关系数的光伏电站出力特性分析[J]. 青海大学学报, 2020, 38(5): 60-65.
ZHAO H B.Analysis on the output characteristics of photovoltaic power station based on the correlation coefficient over multiple time scales[J]. Journal of Qinghai University, 2020, 38(5): 60-65.
[30] 侯昊宇, 葛晓琳, 曹旭丹. 考虑碳交易的多虚拟电厂联盟博弈优化方法[J]. 电力系统及其自动化学报, 2023, 35(3): 77-85.
HOU H Y, GE X L, CAO X D.Coalition game optimization method for multiple virtual power plants considering carbon trading[J]. Proceedings of the CSU-EPSA, 2023, 35(3): 77-85.
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